基于车端/路侧端数据的自然驾驶仿真场景

基于车端和路侧端采集数据构建。数据包含道路和交通参与者行为两部分。交通参与者行为包含类型、尺寸、时间、速度、位置。工况覆盖车辆/VRU(横向/纵向冲突)等工况，并不断补充；交通流覆盖不同特征的交通流量、密度和速度；同时覆盖道路上不常见的异形车辆模型。

This dataset is constructed based on data collected from vehicle-side and road-side terminals. It consists of two parts: road-related information and traffic participant behavior. The traffic participant behavior data includes attributes such as type, size, timestamp, speed and position. Covered traffic scenarios involve vehicle/VRU (lateral/longitudinal conflict) scenarios and others, and the scenario coverage is being continuously expanded. Traffic flow data covers traffic volume, density and speed with different characteristics. Additionally, it includes rare special-shaped vehicle models that are not commonly seen on roads.

搜集汇总

背景与挑战

背景概述

该数据集基于车端和路侧端采集数据构建，包含道路和交通参与者行为信息，如类型、尺寸、时间、速度、位置，覆盖多种工况、交通流和异形车辆模型。数据大小为83MB，覆盖苏州、上海等自动驾驶示范区，适用于交通运输和工业制造领域的仿真测试。